Fraud Data Analyst (Banking)

Client of Capitex; Kuwait City; On-site; KWD 60,000 - 90,000; Full time

Job summary

Capitex is seeking an analytical fraud analytics professional to turn alert and case data into actionable detection improvements. You will work closely with the bank's L1/L2 analysts and a senior fraud investigator, bridging operational observations with detection estate actions in Kuwait City.

You will analyze fraud alerts, support tuning on monitoring platforms, and build dashboards to report MI on volumes, outcomes, and losses. Collaborative and onsite from Month 3 to Month 6 are required.

Qualifications

• 3+ years in data analytics within fraud, financial crime or banking operations.
• Strong SQL is essential; Python or R for analysis is a strong plus.
• Experience with BI/visualisation tools and building operational dashboards.
• Familiarity with fraud detection platforms and alert data structures.
• Ability to present analysis clearly to operational and senior stakeholders in English.
• Confirmed availability for an August 2026 start and genuine willingness to be onsite in Kuwait City Month 3 to Month 6.

Responsibilities

• Analyse fraud alert and case data to identify trends emerging typologies detection gaps and false-positive drivers.
• Support rule and threshold tuning on the bank's fraud monitoring platform.
• Build the evidence base model the impact and document proposed changes for the bank's approval.
• Design and produce operational MI alert volumes disposition outcomes SLA performance fraud losses and prevented losses shift-level throughput.
• Build and maintain dashboards and recurring reporting for the fraud operations leadership team.
• Support post-incident and thematic reviews with data deep-dives.
• Work with L2 and the senior investigator to convert case observations into measurable detection improvements.

Skills

SQL

Python

R

BI tools

Dashboards

Fraud platforms

English presentation

Tools

Power BI

Tableau

FICO Falcon

Actimize

SAS

Job description

You will be the analytical engine of the fraud operations team turning alert transaction and case data into detection improvements management information and tuning decisions You will work under the bank s direction alongside Capitex L1 and L2 analysts and a senior fraud investigator and be the bridge between what the operation sees and what the detection estate does

WHAT YOU WILL DO

• Analyse fraud alert and case data to identify trends emerging typologies detection gaps and false-positive drivers
• Support rule and threshold tuning on the bank s fraud monitoring platform
• build the evidence base model the impact and document proposed changes for the bank s approval
• Design and produce operational MI alert volumes disposition outcomes SLA performance fraud losses and prevented losses shift-level throughput
• Build and maintain dashboards and recurring reporting for the fraud operations leadership team
• Support post-incident and thematic reviews with data deep-dives
• Work with L2 and the senior investigator to convert case observations into measurable detection improvements

REQUIREMENTS

• 3+ years in data analytics within fraud, financial crime or banking operations.
• Strong SQL is essential; Python or R for analysis is a strong plus.
• Experience with BI/visualisation tools (Power BI, Tableau or equivalent) and building operational dashboards.
• Familiarity with fraud detection platforms and alert data structures (FICO Falcon, Actimize, SAS or equivalent) - enough to interrogate their output and support tuning.
• Ability to present analysis clearly to operational and senior stakeholders in English.
• Confirmed availability for an August 2026 start and genuine willingness to be onsite in Kuwait City from Month 3 to Month 6.